We present an overview of ODDI an Ontology Driven Data Integration system based on Formal concept analysis and instance comparison. Data Integration systems are used to integrate heterogeneous data sources in a single view. Following the Global-as-View approach the data is retrieved through a common conceptualization, that in our system is modeled as an ontology. This paper focuses on the problem of matching and mapping of elements between the common ontology and the data sources. The problem of query translation is also mentioned for sake of completeness, but it will be treated in detail in a future paper. Recent works on Business Intelligence do highlight the need oftrustable and sound data access systems. We propose a system based on FCA to generate the mapping to the common representation and the relations between the heterogeneous data sources.

An FCA-based mapping generator / P. Ceravolo, A. Gusmini, M. Leida, Z. Cui - In: ETFA 2007 : 12. IEEE international conference on emerging technologies and factory automation : september 25-28, 2007, Patras, Greece : [proceedings]Piscataway : Institute of Electrical and Electronics Engineers, 2007 Sep. - ISBN 9781424408269. - pp. 796-803 (( Intervento presentato al 12. convegno IEEE International Conference on Emerging Technologies & Factory Automation (ETFA) tenutosi a Patras nel 2007.

An FCA-based mapping generator

P. Ceravolo
Primo
;
A. Gusmini;M. Leida
Penultimo
;
2007

Abstract

We present an overview of ODDI an Ontology Driven Data Integration system based on Formal concept analysis and instance comparison. Data Integration systems are used to integrate heterogeneous data sources in a single view. Following the Global-as-View approach the data is retrieved through a common conceptualization, that in our system is modeled as an ontology. This paper focuses on the problem of matching and mapping of elements between the common ontology and the data sources. The problem of query translation is also mentioned for sake of completeness, but it will be treated in detail in a future paper. Recent works on Business Intelligence do highlight the need oftrustable and sound data access systems. We propose a system based on FCA to generate the mapping to the common representation and the relations between the heterogeneous data sources.
Data analysis ; Data structures ; Ontologies (artificial intelligence) ; Pattern matching ; Query processing.
Settore INF/01 - Informatica
set-2007
Institute of Electrical and Electronics Engineers
Book Part (author)
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/41884
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? 0
social impact